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  2. Seasonality - Wikipedia

    en.wikipedia.org/wiki/Seasonality

    For example, for monthly data, if there is a seasonality effect, we would expect to see significant peaks at lag 12, 24, 36, and so on (although the intensity may decrease the further out we go). An autocorrelation plot (ACF) can be used to identify seasonality, as it calculates the difference (residual amount) between a Y value and a lagged ...

  3. Seasonal adjustment - Wikipedia

    en.wikipedia.org/wiki/Seasonal_adjustment

    Seasonal adjustment or deseasonalization is a statistical method for removing the seasonal component of a time series. It is usually done when wanting to analyse the trend, and cyclical deviations from trend, of a time series independently of the seasonal components.

  4. Seasonal subseries plot - Wikipedia

    en.wikipedia.org/wiki/Seasonal_subseries_plot

    Seasonal subseries plots enables the underlying seasonal pattern to be seen clearly, and also shows the changes in seasonality over time. [2] Especially, it allows to detect changes between different seasons, changes within a particular season over time. However, this plot is only useful if the period of the seasonality is already known. In ...

  5. Autoregressive integrated moving average - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_integrated...

    IBM SPSS: includes ARIMA modeling in the Professional and Premium editions of its Statistics package as well as its Modeler package. The default Expert Modeler feature evaluates a range of seasonal and non-seasonal autoregressive (p), integrated (d), and moving average (q) settings and seven exponential smoothing models. The Expert Modeler can ...

  6. Winter is coming ... but when? A look at the astronomical ...

    www.aol.com/winter-coming-look-astronomical...

    This could skew seasonal statistics, making average temperatures higher. Discover our 90+ feel-good picks: Popular Christmas movies to stream this holiday season. When is the first day of winter 2024?

  7. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    An example of statistical software for this type of decomposition is the program BV4.1 that is based on the Berlin procedure.The R statistical software also includes many packages for time series decomposition, such as seasonal, [7] stl, stlplus, [8] and bfast.

  8. Pick your winter: 3 ways to define the season with the least ...

    www.aol.com/weather/pick-winter-3-ways-define...

    The start and end of astronomical and solar seasons depend on variables that can differ slightly every year, so weather forecasters also use a system that is more consistent on a year-to-year basis.

  9. NFL playoff scenarios: Which teams can clinch berths in Week 16?

    www.aol.com/nfl-playoff-scenarios-teams-clinch...

    One team has already joined the NFL playoff picture in Week 16, and a few more could be on the way. Here are the clinching scenarios remaining.